Robin Vlieger

Robin Vlieger is a Research Fellow at the Australian National University's School of Medicine and Psychology. He holds a PhD in Computer Science, MSc in Cognitive Neuroscience, and a BA (Hons) in Liberal Arts & Sciences. His research focuses on applying machine learning to neurodegenerative diseases, particularly Parkinson's and Multiple Sclerosis, using EEG analysis and signal processing. He also investigates diagnostic methods for diabetic eye damage and acute stroke prognosis. Vlieger has contributed to scalable health informatics applications for sensor data analysis and has supervised research students in interdisciplinary projects.

Key research areas include machine learning model optimization for medical diagnostics, EEG signal preprocessing techniques, and clinical outcome prediction in neurological conditions. His work bridges computer science and clinical neuroscience, emphasizing translational research with direct healthcare applications.

Recent studies highlight advancements in Parkinson's disease classification using EEG data, stroke patient discharge destination prediction, and blood-based biomarker evaluation for multiple sclerosis. Vlieger collaborates on interdisciplinary teams to develop innovative diagnostic tools and health technology platforms.